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Research

AI research tools give you answers, with sources. They read the web pages, synthesise the information, and present a summary you can actually use. This is a genuine step change in how fast you can learn about something.

Quick Research Tools

Perplexity
What it isAI-powered search engine that provides sourced, referenced answers
Best atQuick research with citations, current events, fact-checking, comparing options
Free tierFree tier with standard search (generous, covers most needs)
First paid tierPerplexity Pro - US$20/month (~A$32/month)
Ken's takePerplexity has become my first stop for research questions. It gives you an answer with numbered sources you can click to verify. The free tier is genuinely useful. I use it instead of Google for most factual questions now.
Sign uphttps://perplexity.ai
NotebookLM
What it isGoogle's AI research and study tool that analyses your uploaded sources
Best atDeep analysis of specific documents, study guides, generating audio summaries (the podcast feature is remarkable)
Free tierCompletely free with a Google account
First paid tierNotebookLM Plus - US$10/month (~A$16/month)
Ken's takeThe killer feature is the audio overview. Upload a document and NotebookLM generates a surprisingly engaging podcast-style discussion about it. It is genuinely useful for learning and for making dense material accessible. The fact that the base product is free makes it a no-brainer to try.
Sign uphttps://notebooklm.google.com

Try this right now (free)

Go to Perplexity and ask: "What are the best walking trails within an hour of [your city]? I want routes between 10-20km with good scenery." Compare the sourced answer you get to what a Google search would give you.

Deep Research: When You Need Serious Answers

Both Claude and ChatGPT now offer a Deep Research mode that goes far beyond a simple web search. When you activate Deep Research, the AI does not just find one source and summarise it. It autonomously plans a research strategy, searches dozens or even hundreds of sources, follows links, reads full pages, cross-references findings, identifies contradictions, and compiles everything into a structured, cited report. This process takes minutes, not seconds, but the output is dramatically more thorough than anything a regular search produces.

Claude Research: Available to Pro and Max users. Click the Research button in the chat interface (it must be enabled alongside web search). Claude asks clarifying questions about what you need, then goes to work. You can watch it search in real time, seeing which sites it visits. It integrates with Google Workspace if connected, meaning it can search your emails, documents, and calendar alongside the web. Output tends to be well-structured with dense citations.

ChatGPT Deep Research: Available to Plus and Pro users. Similar process: describe your research task, ChatGPT asks clarifying questions, then conducts autonomous multi-source research. It often visits 20+ sources per query. Plus users get a limited number of deep research runs per month. Pro users get significantly more.

Perplexity Pro Search: Perplexity's paid tier also offers deeper research capabilities, asking follow-up questions and searching more sources than the free tier.

When to use Deep Research: Market analysis and competitive intelligence. Evaluating vendors, tools, or services. Fact-checking claims before including them in a presentation. Understanding regulatory or policy changes. Researching a major purchase. Preparing for a job interview at a specific company. Any situation where you need comprehensive, sourced information rather than a quick answer.

When not to use it: Simple factual questions ("What time zone is Perth in?"). Quick lookups. Anything where a single source would suffice. Deep Research consumes more of your usage allowance, so save it for questions that genuinely need depth.

Try this right now (Pro required)

Enable Research in Claude, then ask: "Research the current state of AI adoption in Australian small businesses. I want to understand what percentage are using AI tools, which tools are most popular, what the main barriers to adoption are, and any recent Australian government initiatives supporting AI uptake. Cite all sources." Watch it work through dozens of sources and produce a comprehensive briefing in minutes.

See what Claude Research produced from this prompt

This is the actual, unedited output from Claude Research (Pro) using the prompt above, generated in March 2026. Claude searched 390 sources and produced this comprehensive briefing in approximately four minutes.

AI adoption in Australian small business: promising but patchy

Between 29% and 40% of Australian SMEs are actively using AI tools as of early 2026, depending on the survey and definition used — a figure that has roughly doubled since 2023 but still places Australia behind many Asia-Pacific peers. The economic stakes are enormous: Deloitte Access Economics estimates that if just one in ten SMBs advanced one rung on the AI maturity ladder, it would add $44 billion to GDP annually. Yet the sector faces a stubborn paradox — enthusiasm is high, but strategic integration remains shallow, with only 5% of AI-using SMBs classified as “fully enabled” and 76% lacking any formal AI strategy. The federal government’s National AI Plan, released in December 2025, consolidates over $460 million in existing commitments but has drawn criticism for introducing relatively little new funding targeted specifically at small business.

The numbers tell a complicated story

The wide spread of adoption figures — from MYOB’s conservative 29% to Deloitte’s 67% — stems largely from definitional differences. MYOB’s November 2025 Bi-Annual Business Monitor, surveying 1,087 SMEs with fewer than 200 employees, applies a strict “actual tool usage” definition and found 29% using AI, up from 23% six months earlier. The federal government’s own AI Adoption Tracker, run by Fifth Quadrant for the National AI Centre, surveys 400 different SMEs monthly and reported 40% adoption in Q4 2024, rising to 41% in Q1 2025. The COSBOA and CommBank 2025 Small Business Perspectives Report, based on 841 business owners, found 48% were not using AI at all and only 14% had genuinely integrated it into operations or services.

At the upper end, the Deloitte Access Economics report “The AI Edge for Small Business” (November 2025), commissioned by Amazon and surveying over 1,000 SMBs, found two-thirds using AI in some capacity — but critically, only 5% were “fully enabled” with embedded AI strategies, trained employees, and centralised data. BizCover’s April 2025 survey of 965 owners placed the figure at 66% currently using AI and 80% either using or planning to adopt. The Decidr National AI Readiness Index found 92% of businesses with 20–500 employees had used platforms like ChatGPT or Copilot, but just 19% had adopted advanced AI systems delivering tangible business outcomes.

The most defensible consensus figure for SMEs currently using AI tools in a meaningful way sits around 35–40%, with micro-businesses (1–4 employees) lagging at approximately 34% and larger SMEs tracking higher. Sectoral variation is pronounced: health, education, and retail lead at around 45% adoption, while agriculture sits at just 6% and construction and manufacturing show persistently high unawareness. A significant metro-regional divide persists, with Queensland and Western Australia adoption climbing from 22% to 29% between Q3 and Q4 2024 but still trailing major capitals.

Internationally, Australia is a middling performer. CPA Australia’s 16th Asia-Pacific Small Business Survey ranked Australian SMEs 10th out of 11 markets for growth, with only 26% investing in profitable new technology versus a 56% Asia-Pacific average. Deloitte’s State of AI in Enterprise survey found only 12% of Australian leaders reported generative AI was already transforming their business, compared with 25% globally, while just 65% planned to increase AI investment versus 84% worldwide. The KPMG and University of Melbourne Trust in AI study revealed Australians ranked lowest globally in interest in learning more about AI, with over 60% reporting low knowledge compared to 48% globally.

ChatGPT dominates, but Australian-built tools are gaining ground

Generative AI assistants have overtaken all other application categories to become the number one AI use case among Australian SMEs, according to the National AI Centre’s Q4 2024 tracker. The specific tools gaining the most traction reflect a mix of global platforms and Australian-headquartered products:

  • ChatGPT is overwhelmingly the most widely used AI tool, deployed for drafting proposals, content creation, customer communications, research, and problem-solving. Business plans cost approximately $31–50 AUD per month.
  • Microsoft Copilot, embedded across Microsoft 365 (Outlook, Word, Excel, Teams), is the second most adopted tool. A government trial found 69% of users reported it improved task speed and quality. It costs approximately $40 AUD per user per month.
  • Canva’s AI features (Magic Studio, Magic Write, Magic Design, Magic Edit) are hugely popular for marketing and design among non-technical business owners. The Sydney-headquartered company now serves 260 million monthly active users globally, with its new Canva Business plan priced at $20 per month.
  • Xero, which holds approximately 60% of the Australian cloud accounting market, has launched JAX — an AI-powered financial “superagent” — alongside automated bank reconciliation, cash flow forecasting, and auto-categorisation features.
  • MYOB offers AI-powered BAS preparation, smart reconciliation, receipt capture, and business insights, serving its estimated 20–25% share of Australian small business accounting.

Beyond these, Google Gemini, Anthropic’s Claude, and workflow automation platforms like Zapier are gaining traction. Trade-specific platforms including ServiceM8 and Tradify have added AI-powered quoting and scheduling. The top five application areas, per the NAIC tracker, are generative AI assistants, data entry and document processing, fraud detection, marketing automation, and customer support chatbots.

Despite this breadth, 82% of AI-using businesses in MYOB’s survey reported a positive impact, but a troubling 46% do not measure that impact at all. The UTS Human Technology Institute’s February 2025 study of 133 SMEs noted that while AI was “exceeding expectations,” businesses were confronting practical complexities including poor-quality outputs, data-sharing concerns, and the difficulty of navigating a fast-moving landscape.

Skills gaps, not cost, are the primary barrier

A consistent finding across virtually every survey is that workforce skills and awareness — not cost — represent the single largest barrier to AI adoption. The Australian Industry Group’s October 2024 survey of 182 businesses ranked workforce capability as the top inhibitor at 51%, followed by lack of product knowledge at 48%, unclear ROI at 27%, and perceived business risk at 26%. Financial considerations ranked fifth at 21%.

The Deloitte Access Economics report identified five ranked barriers. Not knowing where to start topped the list, with one-third of businesses not using AI saying they simply didn’t know how to begin. More than half of SMB workforces were found to have only basic or novice AI familiarity, and just 10% possessed advanced skills. Business systems and data quality limitations came second — without suitable infrastructure, scaling AI proves impossible. Workforce skills, funding constraints, and AI governance and standards rounded out the top five.

BizCover’s survey produced a notable counterpoint to conventional wisdom: cost and job losses were “notably absent” from the top concerns, with uncertainty about integration, privacy concerns, and fears about skill obsolescence ranking higher. The ASBFEO’s Small Business Pulse reported growing “bewilderment about how to operationalise” AI ambitions, with Ombudsman Bruce Billson noting that “there is enthusiasm to invest and innovate, but also bewilderment about how to turn ambition into action.” A striking 70% of employers with at least 10 staff expressed concern about AI replacing work currently performed by people.

The digital skills deficit extends well beyond AI-specific knowledge. The Australian Computer Society’s Digital Pulse 2025 report found 77% of technology workers and 51% of non-tech workers believed they had insufficient skills in at least one digital capability, with AI identified as the most prevalent deficiency. Nearly three-quarters of businesses surveyed by Queensland’s Business Chamber reported only a basic understanding of AI. Closing these gaps could generate a $25 billion economic boost over the next decade, per ACS estimates.

Regulatory uncertainty adds another layer of friction. The Reserve Bank of Australia’s November 2025 bulletin noted firms face contradictory pressures — told to “move fast to stay competitive” while simultaneously warned “don’t you dare breach privacy, copyright or ethics.” COSBOA has advocated a “light-touch” regulatory approach, while the Decidr National AI Readiness Index found 76% of SMEs have no formal AI strategy or roadmap, suggesting that even willing adopters lack the governance frameworks to proceed safely.

Other barriers include the lack of time and capacity (cited by 25% of SMBs in the COSBOA/CommBank analysis), the metro-regional digital divide, inadequate data quality and business systems, and a persistent gap between responsible AI intentions and actual implementation. The NAIC tracker consistently identifies a disconnect between the responsible AI practices SMEs intend to implement and those actually deployed, attributing this to “limited capacity and competing priorities.”

Government programs are consolidating, but new funding remains thin

The centrepiece of federal policy is the National AI Plan, released on 2 December 2025 by Assistant Minister Dr Andrew Charlton. Structured around three pillars — “Capture the opportunities,” “Spread the benefits,” and “Keep Australians safe” — the plan consolidates over $460 million in existing commitments across multiple programs. However, multiple analyses from SmartCompany, The Conversation, and industry bodies noted it primarily reorganises existing funding rather than introducing substantial new investment. The only clearly new-costed initiative is the $29.9 million AI Safety Institute, to be established in early 2026, which will monitor, test, and share information on emerging AI risks.

The most directly SME-relevant federal programs include:

  • AI Adopt Program ($17 million): Funds up to five AI Adopt Centres offering free consultations, training, and tools to SMEs. Grant recipients include Boab AI (regional agriculture focus), Digital Transformation Australia (manufacturing), and elevenM Consulting (backed by UTS, Microsoft, KPMG, and Atlassian). Centres are now operational.
  • Australian Small Business Advisory Services — Digital Solutions Round 3 ($25.1 million): Announced by Small Business Minister Dr Anne Aly, this five-year program (2025–26 to 2029–30) includes a new focus on AI and emerging technologies as one of five priority capability areas. Small businesses can access personalised mentoring at $110 for five hours, or free for vulnerable businesses.
  • National AI Centre (NAIC), coordinated by CSIRO’s Data61, serves as the central hub for industry AI adoption, offering the AI Adoption Tracker, the Responsible AI Network, free microskill courses (one million scholarships for a 2.5-hour introductory AI course through the Institute of Applied Technology Digital), and tailored guidance for SMEs, NFPs, and First Nations businesses.
  • Guidance for AI Adoption (AI6), released October 2025, replaced the 2024 Voluntary AI Safety Standard. It consolidates responsible AI guidance into six practices with a two-tier structure: “Foundations” specifically designed for SMEs, and “Implementation Practices” for larger organisations. It includes editable policy templates, an AI screening tool, and risk mitigation resources.
  • R&D Tax Incentive: For SMEs with turnover under $20 million, this provides a refundable offset of 18.5% above the company tax rate (effectively 43.5%) for eligible R&D including AI development. Approximately $950 million in AI-related claims were registered across 2022–23 and 2023–24.
  • $20,000 Instant Asset Write-Off, extended through 30 June 2026, allows small businesses (turnover under $10 million) to immediately deduct AI tools, software, and hardware purchases under the threshold.
  • CSIRO Innovate to Grow: A free eight-week online program connecting SMEs with R&D experts and industry mentors for digital technology and AI projects. Over 650 SMEs have participated since 2020.
  • CRC Projects AI Accelerator Round: Grants of $100,000–$3 million for collaborative industry-led AI research, with applications closing 12 May 2026.

At the state level, South Australia leads with the most targeted AI-for-SME programs. The Industrial AI SME Grant Program, launched in June 2025 by the Australian Institute for Machine Learning at the University of Adelaide, provides in-kind engineering support to SMEs across two streams — “AI Road Map” for AI newcomers and “ML Innovate” for more advanced businesses — running until 2028. The SA Government’s AI Capability Pilot Program allocates up to $370,000 to equip small and family businesses with AI skills, commencing January 2026. SA has also committed $28 million over four years for proof-of-value AI trials across government.

New South Wales has funded AI-specific events through NSW Small Business Month and allocated $5.6 million to AI-in-planning trials across 16 councils. Victoria’s LaunchVic provides funding for AI-focused accelerators and startup programs. Queensland has committed $53 million under its Quantum and Advanced Technologies Strategy, which encompasses AI applications.

The private sector is filling gaps left by government. Commonwealth Bank launched a national AI and digital capability initiative in December 2025 targeting its one million small business customers, in partnership with OpenAI. Microsoft’s AI Skills Initiative aims to train one million Australians and New Zealanders by end of 2026, with its AI Business Boost program specifically targeting 23,000 employees and 10,000 leaders of SMBs in partnership with Business NSW and the Victorian Chamber of Commerce.

What the trajectory reveals about Australia’s AI future

Australia’s small business AI adoption trajectory is unmistakably upward — roughly doubling annually from 2023 to 2025 — but the depth of that adoption remains shallow. The ABS reported that AI R&D spending grew 142% since 2021–22 to reach $668.3 million in 2023–24, yet the Reserve Bank’s survey of firms concluded that enterprise-wide AI transformation remains “the exception, not the norm.” The Deloitte Access Economics recommendation for a $1 billion AI investment boost via a 50% tax deduction for businesses under $50 million turnover has not been adopted by government as of March 2026.

Australia’s regulatory approach has settled firmly on principles-based, voluntary guidance rather than the EU’s prescriptive AI Act model. This reflects COSBOA’s advocacy for “light-touch” regulation but leaves unresolved tensions that the Australian Signals Directorate has flagged through its cybersecurity guidance for small business AI use — including real incidents of data breaches caused by contractors uploading personal information into AI systems.

The economic potential is substantial but requires realism. While the OpenAI-funded AI Opportunities Report projects AI could add $142 billion annually to GDP by 2030, and PwC estimates trusted AI could boost Asia-Pacific output by 14.7% over the next decade, these projections assume adoption trajectories that current barriers — particularly the skills gap and the strategy gap — may prevent. CPA Australia’s Gavan Ord offered perhaps the most clear-eyed assessment: “The question is whether Australian businesses are already behind the curve internationally in the adoption of AI — and the answer is a categorical yes.” Closing that gap will require not just more programs but a fundamental shift in how Australia’s 2.5 million small businesses understand, resource, and strategically embed AI into their operations.

Claude Research searched 390 sources to produce this report, citing data from MYOB, Deloitte Access Economics, BizCover, COSBOA, the Australian Industry Group, CPA Australia, the Reserve Bank of Australia, CSIRO, the Australian Computer Society, and numerous government publications. This is the complete, unedited output.

Research vs Documents: when to use which. Use the tools on this page (Perplexity, Deep Research) when you need to find information from the web -- facts, comparisons, current events, market data. Use Chat With Documents when you already have the document and want to ask questions about it, extract data from it, or summarise it. And if you need an agent to do the entire research job autonomously -- browsing dozens of sites and compiling a report -- see AI Agents.